Rate My Professor Ningning Hou

#476 worldwide#404 in Australia

4.7

6 reviews · out of 5

Ratings & reviews

5.010/13/2026

Always supportive, kind, and empathetic, while also demonstrating strong professionalism, intelligence, and academic rigor.

5.08/20/2025

Encourages innovative and creative solutions.

4.05/21/2025

Patient, kind, and always approachable.

5.03/31/2025

Always approachable and supportive.

4.02/27/2025

Creates a safe space for learning and growth.

5.02/17/2025

A true inspiration to all learners.

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About Ningning

Ningning Hou is a Lecturer in Computing (IoT/Networking) in the School of Computing at Macquarie University, Faculty of Science and Engineering. She obtained her PhD in Computer Science from The Hong Kong Polytechnic University, awarded on 30 November 2021, and her B.Eng. degree in Telecommunication Engineering from Beijing University of Posts and Telecommunications, awarded on 28 June 2017, where she was recognized as an Outstanding Graduate and received the Dissertation Award (top 5%). Prior to joining Macquarie University, Hou served as a Postdoctoral Fellow at The Hong Kong Polytechnic University.

Hou's research focuses on Low Power Wide Area Networks (LPWANs), Artificial Intelligence of Things (AIoT), Internet-of-Things, wireless sensing and networking, wireless computing, and wireless security. She has published extensively in premier conferences and journals, including ACM MobiCom, IEEE INFOCOM, ACM SenSys, IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking, and ACM Transactions on Sensor Networks. Notable publications include "PCube: Scaling LoRa Concurrent Transmissions with Reception Diversities" (ACM Transactions on Sensor Networks, 2023), "Jamming of LoRa PHY and Countermeasure" (ACM Transactions on Sensor Networks, 2023), "Don’t Miss Weak Packets: Boosting LoRa Reception with Antenna Diversities" (ACM Transactions on Sensor Networks, 2023), "CloakLoRa: A Covert Channel over LoRa PHY" (IEEE/ACM Transactions on Networking, 2022), "XCopy: Boosting Weak Links for Reliable LoRa Communication" (ACM MobiCom, 2023), "One Shot for All: Quick and Accurate Data Aggregation for LPWANs" (IEEE/ACM Transactions on Networking, 2024), "MoLoRa: Intelligent Mobile Antenna System for Enhanced LoRa Reception in Urban Environments" (ACM SenSys, 2025), and "XGate: Scaling LoRa Communications to Massive Logical Channels" (IEEE Transactions on Networking, 2025). Hou has received awards such as the People’s Choice Award for the Three Minute Thesis Competition (2021), IEEE INFOCOM student travel grant (2021), first prize at PolyU Annual Research Day (2018), second prize (2019), National Scholarship for Encouragement (2014-2016), and The Xingda Scholarship (2014-2016). Her research is supported by an ARC Linkage Project (AUD 749,991, 2025-2027) on reliable and efficient massive long range connectivity and a Macquarie University Research Acceleration Scheme grant (AUD 50,000). She lectures COMP8293 IoT Communication Networks and Security, COMP8294 Embedded IoT Hardware System and Devices, and COMP8296 Artificial Intelligence and Machine Learning Techniques in IoT, and is affiliated with the Future Communications Research Centre, Data Horizons Research Centre, and Advanced Drone Systems Research Centre.